1 to 25 of 61 Azure Machine Learning Jobs

the importance of team spirit, cohesion, and appreciation - And through our talented people, innovative culture, and technical and business expertise, we deliver game changing outcomes every day. Our learning culture and flat hierarchy are our recipes for success. But don't take our word for it - Have a look at what our employees are saying: Hitachi Solutions: Recruiting … Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation. Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure … and Data platform solutions such as Microsoft Fabric and/or Databricks Excellent communication, collaboration, stakeholder management, and problem-solving skills. Familiarity with the Microsoft Copilot stack. Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus. Additional Information More ❯

on this journey with us Focus of the role: We are looking for a DP-100–certified Azure Data Scientist who is passionate about applied machine learning and delivering real improvements to our clients in smart, effective ways. The successful candidate will be eager to deepen their skills and broaden into wider Azure … analytics capabilities, building a long career here at BCN Group within a growing and exciting innovation technology team. Our people have three things in common: a curiosity for learning, a drive to deliver projects brilliantly, and a belief that together we make a difference. Using your expertise in Azure Machine Learning … Actions, and Fabric/Power BI to ensure solutions are observable, governed, and production-ready. This is an exciting opportunity to develop new capabilities and establish industry-leading machine-learning practices that drive measurable outcomes for our clients. Responsibilities: Work directly with business stakeholders to conceive, design and deliver end-to-end machine learning More ❯

Role Machine Learning Engineer Location - London (Hybrid) Salary - £80K - £100K Role Type Permanent Myn is an AI driven marketplace that connects the candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions. Overview Are you a talented Machine Learning Engineer eager to make an immediate impact … on exciting projects? Our client is seeking an experienced professional for a hybrid position to be based in Central London As a Machine Learning Engineer for this start-up, you will have the chance to: Develop and implement cutting-edge machine learning models and algorithms that drive business outcomes and innovation. Collaborate … in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in Python and/or R for developing machine learning models. Experience with frameworks such as TensorFlow, PyTorch, or Scikit-learn. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms More ❯

And thats the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate … in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by … turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI modelsfrom creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a … expand our AI programmes. What you'll be doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI … curious, and technically skilled and loves working across the intersections of software engineering, data science, and AI innovation. Design, develop, and deploy AI/ML models using Microsoft Azure technologies. Build, train, and fine-tune machine learning models and algorithms to solve business challenges. Assess algorithm performance against large, real-world data sets. More ❯

About Us: We’re a team of passionate innovators empowering businesses through the transformative power of data, machine learning, and artificial intelligence. At Inference Group, our mission is simple: to help organisations unlock their true potential and drive sustainable growth. As we expand rapidly, we’re looking for creative, curious minds who want to make a … expand our AI programmes. What you'll be doing In this role, you’ll evaluate and compare algorithm performance using large, real-world data sets. Design and implement machine learning algorithms. Undertake data mining from multiple sources to gain insights that accelerate algorithm and model performance. Play a pivotal role in supporting client objectives through AI … curious, and technically skilled and loves working across the intersections of software engineering, data science, and AI innovation. Design, develop, and deploy AI/ML models using Microsoft Azure technologies. Build, train, and fine-tune machine learning models and algorithms to solve business challenges. Assess algorithm performance against large, real-world data sets. More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯

Campion Pickworth are working with a leading International professional services firm to recruit for Senior Data Science and Machine Learning Manager to support the delivery of innovative analytics and machine learning solutions in a fast-paced, supportive environment. This is a unique opportunity to work on a wide range of high-impact … shaping our data capabilities and delivering meaningful insights that support business-critical decisions. What You’ll Do Lead the development and deployment of advanced analytics, data science, and machine learning tools and solutions. Use technologies such as Python, R, Azure, Databricks, SQL, Power BI, and Tableau to deliver actionable insights from complex data. … within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a … new Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) to join their team on a permanent basis. this role we be responsible for the design, development and delivery of advanced analytics and AI solutions. This is a fantastic time to join a top … law firm who have a long-stream of projects in the pipeline alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law More ❯

experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge AI and Machine Learning solutions to solve complex challenges across our banking, financial services, and fintech operations. You will be instrumental in driving revenue growth, optimizing risk management, enhancing customer … the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading … related). Technical Skills: Programming: Expert proficiency in Python (must-have) and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn). Proficiency in SQL is essential. Machine Learning: Deep, hands-on experience with a wide range of ML techniques (supervised/unsupervised learning, time-series analysis, ensemble methods). Advanced AI: Practical More ❯

data science or a related field » 2-4 years' experience in the field of data science, Microsoft Cloud or AI » Familiar with Microsoft Cloud and Data Platform (e.g. Azure AI, Copilot Studio, Microsoft Fabric, Power Platform, etc.) » Strong enthusiasm for AI and its applications across industries » Either possess or working towards official "Microsoft Certified" Certification » Well organised … experience and a strong passion for learning. Your responsibilities » Design and deliver internal training on Microsoft AI tools, including Azure AI and Copilot Studio » Create learning materials and onboarding guides for Copilot, Power Apps, and Power Automate » Run internal AI labs and pilot programs to explore use cases and drive adoption » Apply Microsoft Responsible AI … projects » Identify AI opportunities across departments and prototype solutions using Microsoft Fabric and Azure Synapse Analytics » Build and deploy models using Azure Machine Learning and Azure OpenAI Service » Develop Power Apps and Power Automate flows to streamline and improve business processes More ❯

of 3-7 years of experience as a data/solutions architect working Azure Synapse Analytics for data ingestion, ETL/ELT workloads, data integration, Machine Learning, and Generative AI solutions in real-world projects. Proven ability to manage multiple projects and meet deadlines, with a solid understanding of GDPR and NIS2 to … in client engagement, acting as a technical advisor, providing insights and recommendations on data architecture and AI strategies Must-Have Skills Extensive expertise in architecting solutions using Microsoft Azure Synapse Analytics and Power BI. Strong proficiency in Microsoft SQL Server, T-SQL scripting, and database design principles. Advanced knowledge of Azure Data Factory, SSIS … Data Engineer Associate, Azure Data Scientist Associate, Azure AI Engineer Associate, Power BI Data Analyst Associate. Expertise in Microsoft Azure Synapse Analytics. Expertise and working experience in Azure ML, AI Studio, and Azure OpenAI. Expertise in Microsoft Purview and Microsoft Fabric. Experience More ❯

SC Clearance No sponsorship can be offered As a Microsoft AI Developer/Engineer, you would be driving the development, designs and deployments of AI solutions with .NET, Azure AI services, and Microsoft Copilot. Working in collaboration with the team to create intelligent applications that enhance user experiences, automate processes, and drive business impact. Key … Responsibilities: Develop AI-powered applications and services using .NET technologies. Design and implement solutions using Azure AI services including Cognitive Services, Azure Machine Learning, and Bot Services. Integrate Microsoft Copilot capabilities into applications to enhance productivity and automation. Collaborate with stakeholders to understand business requirements and translate them into AI … Microsoft AI technologies and industry trends to continuously improve solutions. Required Skills & Experience: Strong experience in .NET development (C#) and building enterprise-grade applications. Hands-on experience with Azure AI services (Cognitive Services, Azure ML, Bot Services, LUIS, etc.). Familiarity with Microsoft Copilot integration and automation capabilities. Solid understanding of AI/ML More ❯

experience and research Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking … RAG, deployment models Cloud infrastructure (networking, security, storage, monitoring, scaling, DR/HA) on one or more cloud platforms SW Engineering and DevSecOps Set yourself apart Certified cloud Machine Learning (e.g., AWS Certified Machine Learning - Specialty) Certified cloud Architect Experience of delivering production AI/ML services for scaled end user consumption More ❯

the Role We are seeking a highly skilled and security-focused Senior DevSecOps Engineer to build, secure, and optimize the cloud infrastructure that powers our critical AI and Machine Learning initiatives. In this senior role, you will be the bridge between rapid AI development and the stringent security and compliance requirements of the financial industry. You … the integrity, confidentiality, and availability of our models and data. Key Responsibilities Secure MLOps Platform Engineering: Design, implement, and manage secure, automated CI/CD pipelines specifically for machine learning models (MLOps), integrating security checks (SAST, DAST, SCA) and data validation gates. AI/ML Infrastructure Security: Harden and secure the underlying cloud infrastructure for AI …/ML workloads, including GPU clusters, container orchestration (Kubernetes), and managed services (e.g., AWS SageMaker, Azure ML). Security by Design: Embed security controls into every stage of the ML lifecycle (data ingestion, feature store, model training, deployment, monitoring). Implement secrets management, network security (firewalls, VPCs), and identity and access management (IAM) for data and model More ❯

and oversee the build and deployment of an AI agent to enhance client delivery, internal productivity, and advisory effectiveness. Identify and assess emerging technologies and tools in AI, machine learning, natural language processing, and data visualization to inform strategic investment decisions. Partner with cross functional teams to integrate data science solutions into existing and new HR … strategy within HR, talent, or professional services environments. Demonstrated success in leading analytics or AI implementation initiatives that transform business insights and performance. Deep understanding of data modeling, machine learning frameworks, and analytic tool ecosystems (e.g., Power BI, Tableau, Azure ML, or equivalent). Experience evaluating and integrating AI enabled solutions into enterprise … role in a newly established, high impact practice. Opportunity to shape the future of leadership advisory at LHH. Growth opportunities within a human resources global leader. We prioritize learning to stay agile in an increasingly competitive business environment. We foster an open minded environment where people spark new ideas and explore alternatives. Our benefits include Flexible working model More ❯

Location: Newcastle, England or Erskine, Scotland Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams … engineering and contribute to architectural decisions Support senior team members in identifying and addressing data science opportunities. Required Skills & Experience Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯

UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying scalable ML solutions across … This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. Optimize and deploy models using tools … industry knowledge and technology Why Join Us? Work on impactful AI projects with real-world applications Be part of a collaborative and forward-thinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture Ready to shape the future of AI? Apply now and bring your expertise to a team that values More ❯

Based | Cannot sponsor Specialising in Azure ML, Data Integration & Scalable ML Ops Are you an experienced ML Ops Engineer with a passion for deploying scalable machine learning solutions in Azure? This remote-first role (with occasional meetups in London) offers the opportunity to work on impactful data analytics projects in … collaboration, and continuous learning. Please note: We are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK. Key Responsibilities Azure ML Operations : Design, deploy, and manage ML models in production using Azure ML . Data Integration : Build and maintain data pipelines using SQL and Azure … . Cross-functional Collaboration : Work closely with actuaries, analysts, and developers to translate data science into actionable insights. Innovation & Support : Stay current with ML trends and support team learning in tools and techniques. What You'll Bring Essential Experience: Strong hands-on experience with Azure ML or Azure-based production environments. Proficiency More ❯

our inclusive and diverse company culture! Your Responsibilities You support the team in the development of Algo Trading models based on technical or statistics analysis, fundamental data, or machine learning You research and analyze new trading strategies and backtest them You follow a DevOps approach in close cooperation with our DevOps and front office teams You … have very good programming skills (e.g., Python, Git) and experiences in Algo Trading Good understanding of European energy markets/management or trading strategies are a plus Experience with AzureML, Docker or Kubernetes is an advantage You show strong analytical skills and a solution-oriented mindset You are highly cooperative and a true team player You are versatile in an … hand information about our vacancies and make valuable contacts - we promote our young talents! Modern working environment: workplace according to digital and ergonomic standards Personal development: lifelong, independent learning using a wide range of opportunities and trainings Nutrition & health: large selection of fresh food and drinks in the subsidized bistro and canteen as well as health offers Corporate More ❯

re Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion More ❯

re Looking For Proven experience in building AI/ML systems, ideally with Azure OpenAI, Azure Cognitive Services Azure Machine Learning. Strong Python skills and familiarity with modern AI frameworks (e.g., LangChain, Hugging Face, PyTorch). Deep understanding of LLMs, vector databases, prompt engineering, and multi-agent systems. Passion More ❯

Group is recruiting a Senior Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry . This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You … be part of a collaborative team shaping how AI is adopted across a national-level environment. Key Responsibilities Design, develop, test, and deploy Agentic AI solutions on Microsoft Azure AI Foundry. Build and optimise AI pipelines , orchestration, and observability frameworks. Ensure solutions meet security, governance, and compliance standards. Collaborate with cross-functional teams to align AI projects … Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication More ❯

Group is recruiting a Senior Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry . This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You … be part of a collaborative team shaping how AI is adopted across a national-level environment. Key Responsibilities Design, develop, test, and deploy Agentic AI solutions on Microsoft Azure AI Foundry. Build and optimise AI pipelines , orchestration, and observability frameworks. Ensure solutions meet security, governance, and compliance standards. Collaborate with cross-functional teams to align AI projects … Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent communication More ❯